How to use Gyaneshere/sbert_mlp_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Gyaneshere/sbert_mlp_model") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]
This model has been pushed to the Hub using the PytorchModelHubMixin integration:
Files info
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Gyaneshere/sbert_mlp_model") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]